Mapping Groundwater Quality Parameters Using Geographic Information System (GIS) in Oyo State, Nigeria
نویسندگان
چکیده
منابع مشابه
The Zoning of Groundwater Quality for Drinking Purpose Using Scholler Model and Geographic Information System (GIS)
Abstract Introduction: Determining the quality of water is particularly important in water resources management, and monitoring and zoning it are considered as a significant principle to be taken into account in planning. Schuller method is the commonest way to determine the quality of water. The present study was conducted in order to determine the quality of drinking water using Schuller mod...
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Nowadays the use of remote sensing and Geographic Information System (GIS) is one of the most powerful cost effective tools to identify and discover the available groundwater resources. In this paper, Lithological Units, Lineaments, Slope, Topography, Drainage density, Vegetation and Isohyets lines have been achieved by stations and through remote sensing and GIS techniques. All layers of diffe...
متن کاملGroundwater quality information Nigeria
N t This is one of a series of information sheets prepared for each country in which WaterAid works. The sheets aim to identify inorganic constituents of significant risk to health that may occur in groundwater in the country in question. The purpose of the sheets is to provide guidance to WaterAid Country Office staff on targeting efforts on water-quality testing and to encourage further think...
متن کاملUsing geographic information system (GIS) and remote sensing (RS) in zoning nitrate concentration in the groundwater of Birjand, Iran
Previous studies have shown that the presence of nitrate in drinking water can cause several diseases especially in the infants, such as cancer and blue baby. The Environmental Protection Agency (EPA) has since adopted the 50 mg/l standard as the maximum contaminant level (MCL) for nitrate for regulated public water systems. This study aimed to evaluate the concentration of nitrate in the drink...
متن کاملIntegration of artificial neural network and geographic information system applications in simulating groundwater quality
Background: Although experiments on water quality are time consuming and expensive, models are often employed as supplement to simulate water quality. Artificial neural network (ANN) is an efficient tool in hydrologic studies, yet it cannot predetermine its results in the forms of maps and geo-referenced data. Methods: In this study, ANN was applied to simulate groundwater quality ...
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ژورنال
عنوان ژورنال: Journal of Geography, Environment and Earth Science International
سال: 2017
ISSN: 2454-7352
DOI: 10.9734/jgeesi/2017/34634